Optimizing Data Movement


Demand for new and better AI models is creating an insatiable demand for more processing power and much better data throughput, but it's also creating a slew of new challenges for which there are not always good solutions. The key here is figuring out where bottlenecks might crop up in complex chips and advanced packages. This involves a clear understanding of how much bandwidth is required ... » read more

A Balanced Approach To Verification


First-time chip success rates are dropping, primarily due to increased complexity and attempts to cut costs. That means management must take a close look at their verification strategies to determine if they are maximizing the potential of their tools and staff. Using simulation to demonstrate that a design exhibits a required behavior has been the cornerstone of functional verification sinc... » read more

Executive Outlook: Chiplets, 3D-ICs, and AI


Semiconductor Engineering sat down to discuss chiplets and the challenges of moving to 3D-ICs with Bill Mullen, Ansys fellow; John Ferguson, senior director of product management at Siemens EDA; Chris Mueth, senior director of new markets and strategic initiatives at Keysight; Albert Zeng, senior engineering group director at Cadence; Anand Thiruvengadam, senior director and head of AI product ... » read more

More Data, More Redundant Interconnects


The proliferation of AI dramatically increases the amount of data that needs to be processed, stored, and moved, accelerating the aging of signal paths through which that data travels and forcing chipmakers to build more redundancy into the interconnects. In the past, nearly all redundant data paths were contained within a planar chip using a relatively thick silicon substrate. But as chipma... » read more

From Tool Agents To Flow Agents


Experts At The Table: AI is starting to impact several parts of the EDA design and verification flows, but so far these improvements are isolated to single tool or small flows provided by a single company. What is required is a digital twin of the development process itself on which AI can operate. Semiconductor Engineering sat down with a panel of experts to discuss these issues and others, in... » read more

AI Drives Re-Engineering Of Nearly Everything In Chips


AI's ability to mine patterns across massive quantities of data is causing fundamental changes in how chips are used, how they are designed, and how they are packaged and built. These shifts are especially apparent in high-performance AI architectures being used inside of large data centers, where chiplets are being deployed to process, move, and store massive amounts of data. But they also ... » read more

New Ways To Improve EDA Productivity


EDA vendors are taking aim at new ways to improve the productivity of design and verification engineers, who are struggling to keep pace with exponential increases in chip complexity in tight time-to-market windows and with constrained engineering talent pipelines. In the past, progress often was as straightforward as improving algorithms or parallelizing computations in a linear flow. But w... » read more

Analog Creates Ripples in Digital Verification


We live in an analog world, but analog has been minimized whenever possible. At some point digital and analog must come together in every electronic device, and that has long been an area where errors creep in. The Wilson Research Group and Siemens EDA functional verification study has long shown that analog and mixed signal are two of the highest causes of flaws that result in chip respins.... » read more

AI Agents Need Goals


Experts At The Table: Definitions and goals matter when it comes to using AI effectively, and it has to be tightly reined in to be effective. Semiconductor Engineering sat down with a panel of experts to discuss these issues and others, including Johannes Stahl, senior director of product line management for the Systems Design Group at Synopsys; Michael Young, director of product marketing for ... » read more

Startup Funding: Q1 2025


The first quarter of 2025 saw six companies raise at least $100 million in investment. Of those, three went to quantum hardware companies, with major investment into neutral atom, superconducting, and hybrid quantum control approaches. AI chips and enabling technology were another big winner in the quarter, with companies developing optical communications tech for chips and data center infra... » read more

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